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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 4 days ago
Job Code: MPIDS-W086 Job Offer from June 23, 2025 We seek to fill one position in the research group on Turbulence and Particles in Fluids lead by Dr. Gholamhossein Bagheri and in collaboration with
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 days ago
Job Code: 395 Job Offer from June 26, 2025 The Max Planck Institute for Astronomy (MPIA) in Heidelberg invites applications for up to three postdoctoral position to work on topics related to ISM
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implementation Reference code: 50144551_2 Commencement date: 01.09.2025 Work location: Hamburg Application deadline: 13.07.2025 The Climate Service Center Germany (GERICS), a scientific organizational entity of
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science-based prototype products and services in support to government, administration and business in their efforts to adapt to climate change. It builds up a national and international network structure
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 months ago
Job Code: 06_2025 Job Offer from April 09, 2025 About the institute The Max Planck Institute of Biophysics is an internationally leading research institution in the fields of structural biology
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
Job Code: 09-25 Job Offer from April 01, 2025 The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than
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) at the Technical University of Munich (TUM) is looking for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and built their early
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D